Design a Recommendation System for Video Streaming

Functional Requirements:

• User Personalization:
  • Provide personalized video recommendations based on user preferences, viewing history, and behavior.
• Content Discovery:
  • Enable users to discover new and trending content.
• Search Integration:
  • Allow users to search for specific content and receive relevant recommendations.
• Multi-Device Support:
  • Ensure recommendations are consistent across different devices (e.g., mobile, web, smart TV).
• Real-Time Updates:
  • Update recommendations in real-time as user behavior changes.
• User Feedback Loop:
  • Incorporate user feedback (likes, dislikes) to refine recommendations.
• Content Filtering:
  • Allow users to filter recommendations based on genres, languages, or other preferences.

Non-Functional Requirements:

• Scalability:
  • Handle a large number of users and video content efficiently.
• Performance:
  • Provide recommendations with minimal latency.
• Reliability:
  • Ensure the system is robust and available 24/7.
• Security:
  • Protect user data and ensure privacy.
• Maintainability:
  • Design the system to be easily upgradable and maintainable.
• Usability:
  • Ensure the recommendation interface is intuitive and user-friendly.
• Compliance:
  • Adhere to legal and regulatory requirements related to data usage and privacy.

Constraints:

• Data Privacy:
  • Comply with data protection regulations (e.g., GDPR, CCPA).
• Resource Limitations:
  • Operate within budgetary and infrastructure constraints.
• Content Licensing:
  • Recommendations should respect content licensing agreements.
• Algorithm Bias:
  • Minimize bias in recommendation algorithms to ensure fairness.
• Network Limitations:
  • Consider varying network speeds and connectivity issues across regions.